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Digital technology, tele-medicine and artificial intelligence in ophthalmology: A global perspective.
Li, Ji-Peng Olivia; Liu, Hanruo; Ting, Darren S J; Jeon, Sohee; Chan, R V Paul; Kim, Judy E; Sim, Dawn A; Thomas, Peter B M; Lin, Haotian; Chen, Youxin; Sakomoto, Taiji; Loewenstein, Anat; Lam, Dennis S C; Pasquale, Louis R; Wong, Tien Y; Lam, Linda A; Ting, Daniel S W.
  • Li JO; Moorfields Eye Hospital NHS Foundation Trust, London, United Kingdom.
  • Liu H; Beijing Tongren Hospital; Capital Medical University; Beijing Institute of Ophthalmology; Beijing, China.
  • Ting DSJ; Academic Ophthalmology, University of Nottingham, United Kingdom.
  • Jeon S; Keye Eye Center, Seoul, Republic of Korea.
  • Chan RVP; University of Illinois Chicago, Chicago, USA.
  • Kim JE; Medical College of Wisconsin, Milwaukee, WI, USA.
  • Sim DA; NIHR Biomedical Research Centre for Ophthalmology, Moorfields Eye Hospital NHS Foundation Trust and UCL Institute of Ophthalmology, London, United Kingdom.
  • Thomas PBM; NIHR Biomedical Research Centre for Ophthalmology, Moorfields Eye Hospital NHS Foundation Trust and UCL Institute of Ophthalmology, London, United Kingdom.
  • Lin H; Zhongshan Ophthalmic Center, State Key Laboratory of Ophthalmology, Guangzhou, China.
  • Chen Y; Peking Union Medical College Hospital, Beijing, China.
  • Sakomoto T; Department of Ophthalmology, Kagoshima University Graduate School of Medical and Dental Sciences, Japan.
  • Loewenstein A; Department of Ophthalmology, Tel Aviv Medical Centre, Israel.
  • Lam DSC; C-MER Dennis Lam Eye Center, C-Mer International Eye Care Group Limited, Hong Kong, Hong Kong; International Eye Research Institute of the Chinese University of Hong Kong (Shenzhen), Shenzhen, China.
  • Pasquale LR; Department of Ophthalmology, Icahn School of Medicine at Mount Sinai, New York, USA.
  • Wong TY; Singapore National Eye Center, Duke-NUS Medical School Singapore, Singapore.
  • Lam LA; USC Roski Eye Institute, University of Southern California (USC) Keck School of Medicine, Los Angeles, CA, USA.
  • Ting DSW; Singapore National Eye Center, Duke-NUS Medical School Singapore, Singapore. Electronic address: daniel.ting.s.w@singhealth.com.sg.
Prog Retin Eye Res ; 82: 100900, 2021 05.
Article in English | MEDLINE | ID: covidwho-745955
ABSTRACT
The simultaneous maturation of multiple digital and telecommunications technologies in 2020 has created an unprecedented opportunity for ophthalmology to adapt to new models of care using tele-health supported by digital innovations. These digital innovations include artificial intelligence (AI), 5th generation (5G) telecommunication networks and the Internet of Things (IoT), creating an inter-dependent ecosystem offering opportunities to develop new models of eye care addressing the challenges of COVID-19 and beyond. Ophthalmology has thrived in some of these areas partly due to its many image-based investigations. Tele-health and AI provide synchronous solutions to challenges facing ophthalmologists and healthcare providers worldwide. This article reviews how countries across the world have utilised these digital innovations to tackle diabetic retinopathy, retinopathy of prematurity, age-related macular degeneration, glaucoma, refractive error correction, cataract and other anterior segment disorders. The review summarises the digital strategies that countries are developing and discusses technologies that may increasingly enter the clinical workflow and processes of ophthalmologists. Furthermore as countries around the world have initiated a series of escalating containment and mitigation measures during the COVID-19 pandemic, the delivery of eye care services globally has been significantly impacted. As ophthalmic services adapt and form a "new normal", the rapid adoption of some of telehealth and digital innovation during the pandemic is also discussed. Finally, challenges for validation and clinical implementation are considered, as well as recommendations on future directions.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Ophthalmology / Artificial Intelligence / Telemedicine / Eye Diseases / Digital Technology Type of study: Diagnostic study / Observational study / Prognostic study Limits: Humans Language: English Journal: Prog Retin Eye Res Journal subject: Ophthalmology Year: 2021 Document Type: Article Affiliation country: J.preteyeres.2020.100900

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Ophthalmology / Artificial Intelligence / Telemedicine / Eye Diseases / Digital Technology Type of study: Diagnostic study / Observational study / Prognostic study Limits: Humans Language: English Journal: Prog Retin Eye Res Journal subject: Ophthalmology Year: 2021 Document Type: Article Affiliation country: J.preteyeres.2020.100900